Damian Borth

8

Papers

3

Total Citations

Papers (8)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Parameter Efficient Self-Supervised Geospatial Domain Adaptation

Towards Scalable and Versatile Weight Space Learning

What Do Deep Networks Like to See?

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

Model Zoos: A Dataset of Diverse Populations of Neural Network Models